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Biochemical association between the prevalence of genetic polymorphism and myocardial infarction

BIOCELL 2023年第3期47卷 473-484页

作者： momina shahid KANWAL REHMAN MUHAMMAD SAJID HAMID AKASH SHALEEM SUHAIL SUMBAL RASHEED MUHAMMAD IMRAN MOHAMMED AASSIRI Department of Pharmaceutical Chemistry Government College UniversityFaisalabad38000Pakistan Department of Pharmacy The Women UniversityMultan60000Pakistan Research Center for Advanced Materials Science(RCAMS) King Khalid UniversityAbha62413Saudi Arabia Department of Chemistry Faculty of ScienceKing Khalid UniversityAbha62413Saudi Arabia

Genetic polymorphism has a vital role in the pathogenesis and development of myocardial infarction(MI).Single nucleotide polymorphism at any one of the amino acid sequences can result in a diseased state.A single gene can exhibit genetic polymorphism at more than one position giving rise to different *** polymorphism of angiotensinogen(AGT)M235T,AGT T174M,and angiotensin-1-converting enzyme(ACE)I/D,endothelial nitric oxide synthase(eNOS),and methylenetetrahydrofolate reductase(MTHFR)can be a risk factor for ***,it is important to study the prevalence of genetic polymorphisms of these genes among different *** is influenced by genetic polymorphism of various genes,including AGT,ACE,eNOS,MTHFR,***,the association of genetic polymorphism of these genes varies among different populations,but different ethnic groups could show contradictory *** genes have shown a positive association with risks of MI in some populations,whereas the results have not been consistent with every ethnic *** this article,we have summarized the genetic variations in the aforementioned genes and their association with MI.

关键词： Endothelial nitric oxide synthase Methylenetetrahydrofolate reductase AGT M235T AGT T174M

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Brain tumor localization and segmentation using mask RCNN

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Frontiers of Computer Science 2021年第6期15卷 199-201页

作者： momina MASOOD Tahira NAZIR Marriam NAWAZ Ali JAVED Munwar IQBAL Awais MEHMOOD Department of Computer Science University of Engineering and TechnologyTaxila 47050Pakistan Department of Software Engineering University of Engineering and TechnologyTaxila 47050Pakistan

1 Introduction Brain tumor is a lethal disease affecting millions of people around the globe and has a high mortality *** identification and segmentation of brain tumor helps to increase the survival chances of the patient and also saves them from complex surgical ***,the precise segmentation of brain tumors facilitates the surgeon for better clinical development and cure.

关键词： mortality clinical precise

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Image Authenticity Detection Using DWT and Circular Block-Based LTrP Features

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Computers, Materials & Continua 2021年第11期69卷 1927-1944页

作者： Marriam Nawaz Zahid Mehmood Tahira Nazir momina Masood Usman Tariq Asmaa Mahdi Munshi Awais Mehmood Muhammad Rashid Department of Computer Science University of Engineering and TechnologyTaxila47050Pakistan Department of Computer Engineering University of Engineering and TechnologyTaxila47050Pakistan College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia College of Computer Science and Engineering University of JeddahJeddah21577Saudi Arabia Department of Computer Engineering Umm Al-Qura UniversityMakkah21421Saudi Arabia

Copy-move forgery is the most common type of digital image manipulation,in which the content from the same image is used to forge *** manipulations are performed to hide the desired ***,forgery detection methods are required to identify forged *** have introduced a novel method for features computation by employing a circular block-based method through local tetra pattern(LTrP)features to detect the single and multiple copy-move attacks from the *** proposed method is applied over the circular blocks to efficiently and effectively deal with the post-processing *** also uses discrete wavelet transform(DWT)for dimension *** obtained approximate image is distributed into circular blocks on which the LTrP algorithm is employed to calculate the feature vector as the LTrP provides detailed information about the image content by utilizing the direction-based relation of central pixel to its ***,Jeffreys and Matusita distance is used for similarity *** the evaluation of the results,three datasets are used,namely MICC-F220,MICC-F2000,and *** the qualitative and quantitative analysis shows that the proposed method exhibits state-of-the-art performance under the presence of post-processing operations and can accurately locate single and multiple copy-move forgery attacks on the images.

关键词： Copy-move forgery discrete wavelet transform LTrP features image forensic circular blocks

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Convolutional Neural Network-Based Classificationof Multiple Retinal Diseases Using Fundus Images

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Intelligent Automation & Soft Computing 2023年第6期36卷 2607-2622页

作者： Aqsa Aslam Saima Farhan momina Abdul Khaliq Fatima Anjum Ayesha Afzaal Faria Kanwal Lahore College for Women University Lahore54000Pakistan

Use of deep learning algorithms for the investigation and analysis of medical images has emerged as a powerful *** increase in retinal dis-eases is alarming as it may lead to permanent blindness if left ***-tion of the diagnosis process of retinal diseases not only assists ophthalmologists in correct decision-making but saves time *** researchers have worked on automated retinal disease classification but restricted either to hand-crafted fea-ture selection or binary *** paper presents a deep learning-based approach for the automated classification of multiple retinal diseases using fundus *** this research,the data has been collected and combined from three distinct *** images are preprocessed for enhancing the *** layers of the convolutional neural network(CNN)are used for the automated feature extraction and classification of 20 retinal *** is observed that the results are reliant on the number of *** binary classification(healthy ***),up to 100%accuracy has been *** 16 classes are used(treating stages of a disease as a single class),93.3%accuracy,92%sensitivity and 93%specificity have been obtained *** 20 classes(treating stages of the disease as separate classes),the accuracy,sensitivity and specificity have dropped to 92.4%,92%and 92%respectively.

关键词： Classification convolutional neural network fundus images medical image diagnosis retinal diseases

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信息系统和决策对吉布提银行组织的绩效的影响

信息系统和决策对吉布提银行组织的绩效的影响

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作者：爱丽（momina Mohamed Ali）首都经济贸易大学

学位级别：硕士

本研究旨在揭示管理信息系统和管理决策对吉布提私人银行业绩的影响。本研究还试图确定管理信息系统在吉布提私人银行管理决策质量中的程度和作用。本研究采用定量研究方法,以调查问卷作为数据收集工具。为了得到准确的数据,我们将120... 详细信息

本研究旨在揭示管理信息系统和管理决策对吉布提私人银行业绩的影响。本研究还试图确定管理信息系统在吉布提私人银行管理决策质量中的程度和作用。本研究采用定量研究方法,以调查问卷作为数据收集工具。为了得到准确的数据,我们将120份问卷随机分配给SALANM和AFRICA这两家银行的管理人员和员工,共收回问卷120份。这个研究主要分为两个部分,第一个部分是进行一个描述性的分析,第二个部分是运用线性分析进行假设检验。假设检验主要是为了揭示信息系统对组织绩效的重要作用,根据这个提出三个假设检验。结果显示非独立变量对独立变量的积极影响,这个研究最重要的就是突出了信息科技单元的重要性。分析可靠性和检验假设后结果显示非独立变量对公司的绩效有重要的影响。因而信息系统的缺乏将影响绩效和决策。研究表明在吉布提私人银行为了更好地效率而提高信息系统和决策的重要性是十分必要的。

关键词：管理信息系统决策组织绩效吉布提银行

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音乐治疗视域下乐器学习在戒毒矫治应用中的可行性研究

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河南司法警官职业学院学报 2023年第3期21卷 93-96页

作者：邹雯莫米娜陈燎滔湖南司法警官职业学院湖南长沙410131 湖南省坪塘强制隔离戒毒所湖南长沙410006

音乐治疗是一种治疗毒品成瘾的新兴心理干预方式。从强戒所实际环境和戒毒人员的现状出发,分析戒毒人员常见身心问题,以及乐器学习作为一种再创造式音乐治疗的主要作用。乐器学习可以有效帮助戒毒人员改善呼吸功能,缓解疼痛感受,调节情... 详细信息

音乐治疗是一种治疗毒品成瘾的新兴心理干预方式。从强戒所实际环境和戒毒人员的现状出发,分析戒毒人员常见身心问题,以及乐器学习作为一种再创造式音乐治疗的主要作用。乐器学习可以有效帮助戒毒人员改善呼吸功能,缓解疼痛感受,调节情绪状态,改善人际关系。

关键词：再创造式音乐治疗乐器学习戒毒人员

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